Forecasting Us Electricity Demand PDF Download
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Author | : Adela Maria Bolet |
Publisher | : Routledge |
Total Pages | : 274 |
Release | : 2019-08-30 |
Genre | : Political Science |
ISBN | : 0429691459 |
Download Forecasting U.S. Electricity Demand Book in PDF, ePub and Kindle
Although the energy headlines of 1985 proclaim the waning of OPEC, the collapse of oil prices, and the demise of the nuclear power industry, few policy analysts are examining the dynamic challenges and opportunities that may confront the electric power industry during the remainder of this century. In this pioneering work, Adela Maria Bolet attempts to do exactly this, namely, to reconcile the differences among forecasters as to the future of electricity demand in the industrial, commercial, and residential sectors.
Author | : Adela Maria Bolet |
Publisher | : |
Total Pages | : 237 |
Release | : 1985 |
Genre | : Electric power consumption |
ISBN | : |
Download Forecasting U.S. Electricity Demand Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 74 |
Release | : 1986 |
Genre | : Energy consumption |
ISBN | : |
Download International Energy Outlook Book in PDF, ePub and Kindle
Author | : Kevin Berk |
Publisher | : Springer Spektrum |
Total Pages | : 0 |
Release | : 2015-01-30 |
Genre | : Business & Economics |
ISBN | : 9783658086688 |
Download Modeling and Forecasting Electricity Demand Book in PDF, ePub and Kindle
The master thesis of Kevin Berk develops a stochastic model for the electricity demand of small and medium-sized companies that is flexible enough so that it can be used for various business sectors. The model incorporates the grid load as an exogenous factor and seasonalities on a daily, weekly and yearly basis. It is demonstrated how the model can be used e.g. for estimating the risk of retail contracts. The uncertainty of electricity demand is an important risk factor for customers as well as for utilities and retailers. As a consequence, forecasting electricity load and its risk is now an integral component of the risk management for all market participants.
Author | : United States. Congress. House. Committee on Science and Technology. Subcommittee on Investigations and Oversight |
Publisher | : |
Total Pages | : 376 |
Release | : 1981 |
Genre | : Electric power consumption |
ISBN | : |
Download Energy Demand Forecasting Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 164 |
Release | : 1992 |
Genre | : Energy consumption |
ISBN | : |
Download Annual Energy Outlook Book in PDF, ePub and Kindle
Author | : Clark W. Gellings |
Publisher | : |
Total Pages | : 552 |
Release | : 1992 |
Genre | : Technology & Engineering |
ISBN | : |
Download Demand Forecasting for Electric Utilities Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 72 |
Release | : 1987 |
Genre | : Electric Utilities |
ISBN | : |
Download Annual Outlook for U.S. Electric Power Book in PDF, ePub and Kindle
Author | : Maria Jacob |
Publisher | : Springer Nature |
Total Pages | : 108 |
Release | : 2019-09-25 |
Genre | : Mathematics |
ISBN | : 303028669X |
Download Forecasting and Assessing Risk of Individual Electricity Peaks Book in PDF, ePub and Kindle
The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme value theory techniques with examples. In order to achieve carbon targets, good forecasts of peaks are essential. For instance, shifting demand or charging battery depends on correct demand predictions in time. Majority of forecasting algorithms historically were focused on average load prediction. In order to model the peaks, methods from extreme value theory are applied. This allows us to study extremes without making any assumption on the central parts of demand distribution and to predict beyond the range of available data. While applied on individual loads, the techniques described in this book can be extended naturally to substations, or to commercial settings. Extreme value theory techniques presented can be also used across other disciplines, for example for predicting heavy rainfalls, wind speed, solar radiation and extreme weather events. The book is intended for students, academics, engineers and professionals that are interested in short term load prediction, energy data analytics, battery control, demand side response and data science in general.
Author | : P. C. Gupta |
Publisher | : |
Total Pages | : 258 |
Release | : 1984 |
Genre | : |
ISBN | : |
Download Forecasting the Impact of Industrial Structural Change on US Electricity Demand Book in PDF, ePub and Kindle